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Seeing Theory

An interactive visual introduction to probability and statistics concepts.

From the Xiry library · Updated 3 October 2026

Visit seeing-theory.brown.edu ↗

Seeing Theory is an educational web project created at Brown University that explains foundational statistics and probability concepts through animated, hands-on simulations. Built using D3.js, it lets learners manipulate parameters directly to build intuition for abstract mathematical principles. It requires no sign-up or installation and is free to use directly in any browser.

What it's for

  • Develop visual intuition for core probability and statistical concepts
  • Demonstrate distributions and sampling theorems during statistics lessons
  • Experiment with interactive simulations of Bayesian inference and regression analysis

Features

  • Interactive D3.js simulations for real-time statistical exploration
  • Six core chapters covering Basic Probability to Regression Analysis
  • Visual modules for Central Limit Theorem, Bayes' Theorem, and Bootstrapping
  • Downloadable companion textbook in PDF format
  • Multi-language support in English, Chinese, and Spanish
  • Zero login or account registration required

Pricing

Free to use

Details

Type
Website
Category
Learning
Topic
Mathematics
Open source
Yes
Platforms
Web
For
Students, educators, and self-learners exploring statistics and probability.
Alternative to
Khan Academy, Brilliant
Tags
statistics, probability, data visualization, education, math, d3js

Why it was saved

  • @setupsai, 29 July 2025: Makes abstract mathematical concepts like conditional probability, the Central Limit Theorem, and Bayesian inference intuitive and easy to grasp without needing to create an account.

Related

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